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4 дня назад

Senior Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Scientist (AI): Building scientific frameworks, metrics, causal inference approaches, forecasting models, and AI-assisted analytics tooling for Ripple’s payments, stablecoin, and custody products with an accent on experimentation, statistical modeling, and product measurement. Focus on solving ambiguous growth and adoption problems, designing reusable analytical methods, and translating complex findings into decisions for senior stakeholders.

Location: London, UK; in-office collaboration is expected for 10+ days per month, with attendance determined by managers and teams.

Company

hirify.global builds crypto solutions for financial institutions, businesses, governments, and developers to improve global financial infrastructure.

What you will do

  • Lead data science for one or more product or business areas, including Payments, Stablecoin, or Custody.
  • Partner with product and business leaders on roadmap prioritization, success criteria, and measurement.
  • Build product and network health metrics, causal inference methods, forecasting models, and reusable analytical frameworks.
  • Apply AI, LLMs, and agentic workflows to scale insight generation, automate routine analysis, and improve self-service analytics.
  • Evaluate growth across customers, corridors, and on-chain activity, identifying causal drivers of adoption and volume.
  • Define metrics, communicate complex results to senior stakeholders, and mentor other data scientists.

Requirements

  • 7+ years of experience in data science or quantitative analysis with measurable impact on product and business decisions.
  • Experience partnering with cross-functional teams and shaping product or business roadmaps.
  • Strong expertise in experimentation, causal inference, forecasting, and statistical modeling.
  • Hands-on experience with AI-assisted analytics, agentic analysis, insight generation, or natural-language data interfaces.
  • Expertise in Python or R, fluency in SQL, and experience with large-scale data technologies such as Databricks.
  • Excellent communication skills and the ability to translate technical analysis into clear narratives for senior stakeholders.

Nice to have

  • Experience with FinTech, payments, crypto, or blockchain data.
  • Advanced degree such as an MS or PhD in a quantitative field.

Culture & Benefits

  • Fast-paced startup environment with experienced industry leaders and opportunities to work with current technologies.
  • Professional development budget and learning opportunities.
  • Competitive salary, bonuses, equity, healthcare, retirement, family-forming support, and family support benefits.
  • R&R days, generous vacation, wellness reimbursement, parental leave, and family-planning benefits.
  • Team offsites, bonding activities, company meetings, catered lunches, stocked kitchens, and onsite and virtual wellness programming.

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